Outline
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Bayesian Networks
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Probabilistic Relational Models
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Language & Semantics
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Web of Influence
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Collective Classification
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Undirected discriminative models
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Collective Classification Revisited
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PRMs for NLP
We will look at 2 classes of prob graphical models that represent complex distributions compactly and allow us to reason
efficiently.
First, we will look at directed models, called Bayesian networks and their extension to relational data, PRMs.
We’ll then consider
undirected models, such as Markov nets and Relational Markov nets.